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deepsunyesterday at 8:26 PM12 repliesview on HN

Don't understand why. AI training can be run during the sunny days. Could be a good PR opportunity for Musk, I'm surprised he doesn't take it.

Especially if he buys from his own company.


Replies

CodesInChaosyesterday at 10:47 PM

When you spend many billions buying GPUs, you want to maximize utilization, and not turn them off during the night.

chaos_emergentyesterday at 9:02 PM

It’s an industrial supply bottleneck and rollout timeline incompatibility rather than a Dr Doom Evil Genius Complex that prevents everyone from deploying solar. The race dynamics make the discount rate on GPU deployments very high.

Solar is preferable when you have a ton of unproductive land and longer timelines to set it up - it’s certainly going to be cheaper than gas when everyone goes sets up NG plants as option 1 for new energy capacity.

The other confound is that China is the primary supplier of battery and solar tech, I’m sure that supply chain risk becomes part of the calculus when setting up so much infrastructure.

For scale, the current DC is about 8k acres, and the solar to run 7.6GW is almost 40k acres.

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dathinabtoday at 12:32 AM

Idk. about any specific data center but many of this data centers aren't for AI training / making advancements on the AI race. They have sufficient resources for that already AFIK.

They are to run AI, so that the 100th app can force an AI agent down your throat weather your want or not /s. (Or in more optimistic words, so that the AI adoption can spread as fast as their is demand.)

legulereyesterday at 8:57 PM

The problem is that the grid can’t get built out fast enough. You’ll probably see most AI data centers switch to grid power in the coming years using mostly wind and solar because it’s simply cheaper as well

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cbmuseryesterday at 10:20 PM

»Don't understand why.«

Because you cannot turn a large datacenter with thousands of aggregates, power supplies and so on off and on like a toaster.

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bensyversonyesterday at 9:11 PM

I would assume that training pales in comparison to inference when it comes to energy use, taking into account the number of inference users

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ecshaferyesterday at 11:04 PM

I don't see why this isn't obvious. Terafab is a FAB not a datacenter.

noosphryesterday at 11:14 PM

Hospitals can also just run on the sunny days.

Renewable energy only makes sense in a society that is agrarian. The second you have to make anything industrial you need baseload. That baseload can either be coal or nuclear.

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jiggawattsyesterday at 10:43 PM

The reasons are:

- Running billions of dollars worth of GPUs only 30-50% of the time insanely wasteful. Everyone else is running them at 99% duty cycle or close to it.

- Solar is big and generally has to be built far from where the data centres are. Transmission is already a bottleneck in many states. Adding tens of gigawatts requires non-trivial large scale infrastructure investment by… the utility companies, not SpaceX. Not to mention regulatory hurdles, etc.

- Battery production is already mostly maxed out, so obtaining tens of gigawatt hours of capacity on short notice is a decent percentage of global production.

Gas and other fossil fuel power plants can be deployed adjacent to the data centres for effectively zero transmission loss and no long powerlines that upset the NIMBY types.

They can work 24/7 and are largely available right now, but as others have pointed out the turbine blades are a limiting factor with these too.

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nielsbotyesterday at 8:30 PM

and would be cheaper in the long run? or maybe they could even do solar + storage.

i guess even at this stage “gas is easier” is still winning…

dgellowyesterday at 8:30 PM

You’re talking about one of the most hated person on hearth with one of the worst reputation. The literal Nazi salute guy. I don’t think he cares much about positive PR like that

snippylongpossuyesterday at 9:16 PM

Elon has aligned with the hard-right. He'd rather own the libs and hurt the global south than do that.